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What's your thoughts as a longtime shareholder has your confidence in BRN grown over the last couple of years?

No issues promoting Brainchip in a respectful way. There are a few posters who do it brilliantly too.
Agree with not being arrogant to other company personnel, especially when Intel is our partner. It's a great opening for Brainchip to go next level.
US government is supporting Intel heavily for local businesses initiative, let's not kill the golden goose.
After further thought......if we can move to full autonomy we can keep the big screens as we can look away.Perhaps these huge screens/dashboards will disappear due to safety concerns??
The BMW boss made the comments as the German car-maker unveiled a potential solution to the problem – a full-width head-up display system which extends across the the windscreen.
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Big infotainment screens in cars won't last – BMW boss predicts safety backlash
The global boss of BMW believes giant in-car infotainment screens could disappear within a decade due to their potential to distract drivers.www.drive.com.au
No issues promoting Brainchip in a respectful way. There are a few posters who do it brilliantly too.
Agree with not being arrogant to other company personnel, especially when Intel is our partner. It's a great opening for Brainchip to go next level.
US government is supporting Intel heavily for local businesses initiative, let's not kill the golden goose.
Hi Larry,Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity
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Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity
High throughput environments, such as those found in high performance computing (HPC) clusters, run at substantially greater scales than standard busi…reader.elsevier.com
Comparison study between Loihi and Akida..............no wonder Intel moved on from Loihi and agreed to bring Akida into their IFS
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Larry
Thanks mateNo issues promoting Brainchip in a respectful way. There are a few posters who do it brilliantly too.
Agree with not being arrogant to other company personnel, especially when Intel is our partner. It's a great opening for Brainchip to go next level.
US government is supporting Intel heavily for local businesses initiative, let's not kill the golden goose.
Thanks mate
I do my best![]()
At least that was a professional reply.Intel’s reply lol.
Hello, @DavidMorris
Thank you for posting on the Intel® communities.
For more updates and information about Loihi 2, we recommend you to visit our Intel Newsroom and stay tuned with this portal: Intel Advances Neuromorphic with Loihi 2, New Lava Software Framework and New Partners.
Regarding Akida's subject, since this product was not designed by Intel, we recommend you to contact Akida's Developer for more inquiries.
Best regards,
Jocelyn M.
Intel Customer Support Technician.
Thanks Dio.......glad to be corrected by the best. Send me the Ogre!!Hi Larry,
I don't think the times really tell us much.
The test was done using the Akida ADE simulation software:
"3.3. Intel Loihi and BrainChip Akida
The 10-layer deep learning network was converted into formats compatible with Intel and BrainChip. In both cases, precision of the weights was varied to see how it affected model size and accuracy. Timing results were also produced.
For Intel, we accessed Loihi (Nahuku32) chips via the cloud and NxSDK 1.0;
for BrainChip, we simulated the chips on CPU via their hardware abstraction layer. Timing results are not comparable because CPU or GPU simulations are much faster than running on neuromorphic hardware."
5.
"Due to this constraint, our experiments were conducted using Intel’s cloud environment and the stand-alone simulation environment for Akida. There are drastic differences between software simulation and hardware and we intend to study those further."
However, this does explain something else. I saw a quote a couple of weeks ago which referred to 8-bit akida, and, as we all know, Akida only has 4 bits. However, apparently when using the Akida simulator, you can choose 8 bits.
"For BrainChip, accuracy also increased with precision; maximum accuracy was 82.5% at 8 bits and 66.8% at 4 bits. The 8-bit model produced results in 1.23 seconds, the 4-bit model in 1.20 seconds. Time was significantly higher than the full precision model but that is to be expected as neuromorphic hardware is being simulated whereas the full precision model does not have this constraint. Going forward, we hope to tune the BrainChip model to increase its accuracy and time its operation in hardware, not just CPU simulation."
Loihi was done on a hardware cloud-based processor, while Akida was the MetaTF Akida simulation software, so the loihi time is distorted by the internet delay, while the Akida time derives from a software implementation.
Not to worry - remember that the silicon Akida performed better than expected.
My thoughts.............What's your thoughts as a longtime shareholder has your confidence in BRN grown over the last couple of years?
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